Please use this identifier to cite or link to this item:
|Title:||Analyzing online information privacy concerns: An information processing theory approach|
|Source:||Hann, I.-H.,Hui, K.-L.,Lee, S.-Y.T.,Png, I.P.L. (2007). Analyzing online information privacy concerns: An information processing theory approach. Proceedings of the Annual Hawaii International Conference on System Sciences. ScholarBank@NUS Repository. https://doi.org/10.1109/HICSS.2007.81|
|Abstract:||The advent of the Internet has made the transmission of personally identifiable information common and often inadvertent to the user. As a consequence, individuals worry that companies misuse their information. Firms have tried to mitigate this concern in two ways: (1) offering privacy policies regarding the handling and use of personal information, (2) offering benefits such as financial gains or convenience. In this paper, we interpret these actions in the context of the information processing theory of motivation. Information processing theories, in the context of motivated behavior also known as expectancy theories, are built on the premise that people process information about behavior-outcome relationships. We empirically validate predictions that the means to mitigate privacy concerns are associated with positive valences resulting in an increase in motivational score. Further, we investigate these means in trade-off situation, where a firm may only offer partially complete privacy protection and/or some benefits. © 2007 IEEE.|
|Source Title:||Proceedings of the Annual Hawaii International Conference on System Sciences|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
checked on Dec 16, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.